Data Release: "A parameter-free tour of the binary black hole population"
<p>This dataset contains the results presented in "<strong>A parameter-free tour of the binary black hole population</strong>" (<a href="http://arxiv.org/abs/2302.07289">arXiv:2302.07289</a>).</p> <p>The code used to generate this data can be found in the repository <a href="https://github.com/tcallister/autoregressive-bbh-inference/">https://github.com/tcallister/autoregressive-bbh-inference/</a>. This repository includes <a href="https://github.com/tcallister/autoregressive-bbh-inference/tree/main/data">jupyter notebooks</a> that can be used to open, explore, and plot the files contained in this data set. Additional information about reproducing and/or using this dataset can be found in <a href="https://tcallister.github.io/autoregressive-bbh-inference/">our associated documentation</a>.</p> <p>Further notes:</p> <ul> <li>The files <em>sampleDict_FAR_1_in_1_yr.pickle</em> and <em>injectionDict_FAR_1_in_1.pickle</em>, used as inputs to our analyses, are created via code in the repository <a href="https://github.com/tcallister/get-lvk-data">https://github.com/tcallister/get-lvk-data</a> (see also <a href="https://zenodo.org/record/6505409">https://zenodo.org/record/6505409</a>).</li> <li>The files <em>posteriors_gaussian_spin_samples_FAR_1_in_1.json</em> and <em>o1o2o3_mass_c_iid_mag_iid_tilt_powerlaw_redshift_result.json</em>, used for figure generation, were published by the LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration in support of the paper "<a href="https://arxiv.org/abs/2111.03634">The population of merging compact binaries inferred using gravitational waves through GWTC-3</a>" (see <a href="https://zenodo.org/record/5655785">https://zenodo.org/record/5655785</a>).</li> </ul> <p><em>New in this version: </em>This version (Version 3) contains the the newest results generated in the first round of journal referee review and reflected in v2 of the arXiv listing. Includes re-run of all analyses with updated priors, and new results from the injection study discussed in Appendix C.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4